Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands

MODIS reflective solar bands are calibrated on-orbit using a solar diffuser and near-monthly lunar observations. To monitor the performance and effectiveness of the on-orbit calibrations, pseudo-invariant targets such as deep convective clouds (DCCs), Libya-4, and Dome-C are used to track the long-term stability of MODIS Level 1B product. However, the current MODIS operational DCC technique (DCCT) simply uses the criteria set for the 0.65-µm band. We optimize several critical DCCT parameters including the 11-µm IR-band Brightness Temperature (BT11) threshold for DCC identification, DCC core size and uniformity to help locate DCCs at convection centers, data collection time interval, and probability distribution function (PDF) bin increment for each channel. The mode reflectances corresponding to the PDF peaks are utilized as the DCC reflectances. Results show that the BT11 threshold and time interval are most critical for the Short Wave Infrared (SWIR) bands. The Bidirectional Reflectance Distribution Function model is most effective in reducing the DCC anisotropy for the visible channels. The uniformity filters and PDF bin size have minimal impacts on the visible channels and a larger impact on the SWIR bands. The newly optimized DCCT will be used for future evaluation of MODIS on-orbit calibration by MODIS Characterization Support Team.

[1]  Xiangqian Wu,et al.  Global space-based inter-calibration system reflective solar calibration reference: from Aqua MODIS to S-NPP VIIRS , 2016, SPIE Asia-Pacific Remote Sensing.

[2]  Aisheng Wu,et al.  The Radiometric Stability and Scaling of Collection 6 Terra- and Aqua-MODIS VIS, NIR, and SWIR Spectral Bands , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Patrick Minnis,et al.  On the use of deep convective clouds to calibrate AVHRR data , 2004, SPIE Optics + Photonics.

[4]  Xiaoxiong Xiong,et al.  VIIRS Reflective Solar Band Radiometric and Stability Evaluation Using Deep Convective Clouds , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Aisheng Wu,et al.  Initial Stability Assessment of S-NPP VIIRS Reflective Solar Band Calibration Using Invariant Desert and Deep Convective Cloud Targets , 2014, Remote. Sens..

[6]  Aisheng Wu,et al.  Evaluating calibration of MODIS thermal emissive bands using infrared atmospheric sounding interferometer measurements , 2013, Defense, Security, and Sensing.

[7]  Jungang Miao,et al.  Detection of tropical deep convective clouds from AMSU-B water vapor channels measurements , 2005 .

[8]  Amit Angal,et al.  Assessment of MODIS RSB detector uniformity using deep convective clouds , 2016 .

[9]  Xiaoxiong Xiong,et al.  Cross calibration of ocean-color bands from moderate resolution imaging spectroradiometer on Terra platform. , 2008, Applied optics.

[10]  Bertrand Fougnie,et al.  Monitoring of Radiometric Sensitivity Changes of Space Sensors Using Deep Convective Clouds: Operational Application to PARASOL , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Michael D. King,et al.  A solar reflectance method for retrieving the optical thickness and droplet size of liquid water clouds over snow and ice surfaces , 2001 .

[12]  Amit Angal,et al.  Characterizing response versus scan-angle for MODIS reflective solar bands using deep convective clouds , 2017 .

[13]  Hartmut H. Aumann,et al.  Observations of deep convective clouds as stable reflected light standard for climate research: AIRS evaluation , 2007, SPIE Optical Engineering + Applications.

[14]  Xiaoxiong Xiong,et al.  An overview of sensor calibration inter-comparison and applications , 2010 .

[15]  X. Xiong,et al.  Solar and lunar observation planning for Earth-observing sensor , 2011, Remote Sensing.

[16]  B. Soden,et al.  Diurnal cycle of convection, clouds, and water vapor in the tropical upper troposphere: Satellites versus a general circulation model , 2004 .

[17]  Patrick Minnis,et al.  Assessment of the Visible Channel Calibrations of the TRMM VIRS and MODIS on Aqua and Terra , 2007 .

[18]  Patrick Minnis,et al.  Estimating effective particle size of tropical deep convective clouds with a look-up table method using satellite measurements of brightness temperature differences: PARTICLE RADIUS OF DEEP CONVECTION , 2012 .

[19]  Amit Angal,et al.  Time-Dependent Response Versus Scan Angle for MODIS Reflective Solar Bands , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Ping Yang,et al.  Possibility of the Visible-Channel Calibration Using Deep Convective Clouds Overshooting the TTL , 2009 .

[21]  Amit Angal,et al.  Progress and lessons from MODIS calibration intercomparison using ground test sites , 2010 .

[22]  Xiaoxiong Xiong,et al.  MODIS Reflective Solar Bands On-Orbit Lunar Calibration , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[23]  Changyong Cao,et al.  DCC Radiometric Sensitivity to Spatial Resolution, Cluster Size, and LWIR Calibration Bias Based on VIIRS Observations , 2015 .

[24]  Aisheng Wu,et al.  Examination of calibration performance of multiple POS sensors using measurements over the Dome C site in Antarctica , 2008, Remote Sensing.

[25]  David R. Doelling,et al.  The Characterization of Deep Convective Clouds as an Invariant Calibration Target and as a Visible Calibration Technique , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Xiaoxiong Xiong,et al.  Overview of NASA Earth Observing Systems Terra and Aqua moderate resolution imaging spectroradiometer instrument calibration algorithms and on-orbit performance , 2009 .

[27]  Xiaoxiong Xiong,et al.  Multiyear On-Orbit Calibration and Performance of Terra MODIS Reflective Solar Bands , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[28]  Patrick Minnis,et al.  Assessment of the Visible Channel Calibrations of the VIRS on TRMM and MODIS on Aqua and Terra , 2008 .

[29]  Gerhard Meister,et al.  Point-spread function of the ocean color bands of the Moderate Resolution Imaging Spectroradiometer on Aqua. , 2010, Applied optics.

[30]  Edward J. Zipser,et al.  Global distribution of tropical deep convection : Different perspectives from TRMM infrared and radar data , 2007 .

[31]  Rajendra Bhatt,et al.  Algorithm Theoretical Basis Document ( ATBD ) for Deep Convective Cloud ( DCC ) technique of calibrating GEO sensors with Aqua-MODIS for GSICS , 2011 .

[32]  Amit Angal,et al.  Characterization of Terra and Aqua MODIS VIS, NIR, and SWIR Spectral Bands' Calibration Stability , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[33]  Amit Angal,et al.  Assessment of MODIS on-orbit calibration using a deep convective cloud technique , 2016, Optical Engineering + Applications.

[34]  Ping Yang,et al.  Application of deep convective cloud albedo observation to satellite-based study of the terrestrial atmosphere: monitoring the stability of spaceborne measurements and assessing absorption anomaly , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[35]  Xiaoxiong Xiong,et al.  On-Orbit Calibration and Performance of Aqua MODIS Reflective Solar Bands , 2010, IEEE Transactions on Geoscience and Remote Sensing.